Research talk: Capturing the visual evolution of fashion in space and time
Speaker: Kristen Grauman, Professor, University of Texas at Austin The fashion domain is a magnet for computer vision.
132
Research talk: Successor feature sets: Generalizing successor representations across policies
Speaker: Kianté Brantley, PhD Student, University of Maryland Successor-style representations have many advantages for reinforcement learning.
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18.7
Fireside chat: Network verification: Cloud first, what's next?
Speakers: Andrey Rybalchenko, Senior Principal Researcher, Microsoft Research Cambridge George Varghese, Chancellor's Professor, UCLA Computer Science, UCLA Delivering a reliable network to
160
Research talk: Revisiting data center management: Moving towards self-managed data center networks
Speaker: Behnaz Arzani, Senior Researcher, Microsoft Research Redmond Meeting service level agreements (SLAs) is critical for data center operators, and the health of their networks will determine
137
Keynote: Accelerating the data and AI transformation of industry
Speaker: Ravi Krishnaswamy, CVP, Microsoft Azure Global Commercial Industries Technology is disrupting every industry, a transformation that has been accelerated by the maturation of data and AI
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9.2
Closing remarks: Future of Cloud Networking
Speaker: Lidong Zhou, Distinguished Scientist, Managing Director, Microsoft Research Asia Microsoft Research has been at the forefront of network innovation for the cloud for over a decade.
152
Fireside chat: Opportunities and challenges in human-oriented AI
Speakers: Ashley Llorens, Vice President and Distinguished Scientist, Microsoft Research Redmond Katja Hofmann, Senior Principal Researcher, Microsoft Research Cambridge Siddhartha Sen, Principal
389
32.1
Research talk: Making deep reinforcement learning industrially applicable
Speakers: Jiang Bian, Principal Research Manager, Microsoft Research Asia Tie-Yan Liu, Assistant Managing Director, Microsoft Research Asia Deep reinforcement learning has achieved remarkable
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10.6
Research talk: Evaluating human-like navigation in 3D video games
Speakers: Raluca Georgescu, Research Software Engineer II, Microsoft Research Cambridge Ida Momennejad, Senior Researcher, Microsoft Research NYC On the path to developing agents that learn
278
Closing Remarks: Reinforcement Learning
Speaker: John Langford, Partner Research Manager, Microsoft Research NYC Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
174
Practical tips for productivity & wellbeing: Microproductivity strategy to do work in short bursts
Speaker: Shamsi Iqbal, Principal Researcher, Microsoft Research Redmond Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
249
Research talk: Approximate nearest neighbor search systems at scale
Speaker: Harsha Simhadri, Principal Researcher, Microsoft Research India Building deep learning-based search and recommendation systems at internet scale requires a complete redesign of the search
3 457
15.4
Opening remarks: New Future of Work
Speaker: Jaime Teevan, Chief Scientist, Microsoft Research Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
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26.8
Research talk: Search, summarization, and sensemaking
Speaker: Marti Hearst, Professor, UC Berkeley Natural language processing (NLP) has undergone head-spinning advances over the last 5–10 years.
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Practical tips for productivity & wellbeing: Transitioning across the work-life boundary
Speaker: Alex Williams, Assistant Professor, University of Tennessee Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
65
Demo: User-centric graph for building intelligence and Meeting Insights
Speakers: Vipindeep Vangala, Principal Research Manager & Architect, Microsoft Research India Abhishek Arun, Principal Science Manager, Microsoft Research In this digital age, enterprise users use
440
9.4
Research talk: IGLU: Interactive grounded language understanding in a collaborative environment
Speaker: Julia Kiseleva, Senior Researcher, Microsoft Research Redmond Human intelligence has the remarkable ability to quickly adapt to new tasks and environments.
85
Closing remarks: The Future of Search and Recommendation
Speaker: Susan Dumais, Technical Fellow & Director of the Microsoft Research Labs in New England, New York City and Montreal, Microsoft Search and recommendation is core to many Microsoft
59
Research talk: Challenges in multi-tenant graph representation learning for recommendation problems
Speaker: Arun Iyer, Principal Researcher, Microsoft Research India Recent research has shown that representations learned from user-user and user-item graphs can be used to improve recommendation
88
Research talk: DeepXML: A deep extreme classification framework for recommending millions of items
Speaker: Deepak Saini, Research Software Development Engineer, Microsoft Research India Extreme classification provides a formulation for large-scale ranking and recommendation problems by treating
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14
Research talk: Domain-specific pretraining for vertical search
Speaker: Tristan Naumann, Principal Researcher, Microsoft Research Information overload is a prevalent challenge in many high-value domains.
200
Research talk: System frontiers for dense retrieval
Speakers: Jason Li, Partner Group Engineering Manager, Microsoft Knut Risvik, Distinguished Engineer, Microsoft The Microsoft Bing search engine combines classic information retrieval and dense
300
Research talk: Summarizing information across multiple documents and modalities
Speaker: Subhojit Som, Principal Applied Science Manager, Microsoft Search engines have evolved over time, from initially providing the most relevant URLs to user queries to providing information
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32.6
Demo: Using network machine learning for organizational analytics
Speaker: Jonathan Larson, Principal Data Architect, Microsoft Research Redmond Recent developments in network machine learning have opened up new opportunities in the realm of organizational
82
Research talk: Semantic search science: How Microsoft Bing AI is powering Azure Cognitive Search
Speaker: Alec Berntson, Principal Engineering Manager, Microsoft Azure Cognitive Search is a cloud search service that gives developers APIs and tools to build rich search experiences over private
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46.5
Research talk: SPTAG++: Fast hundreds of billions-scale vector search with millisecond response time
Speaker: Qi Chen, Senior Researcher, Microsoft Research Asia Current state-of-the-art vector approximate nearest neighbor search (ANNS) libraries mainly focus on how to do fast high-recall search
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11.3
Practical tips for productivity & wellbeing: Focusing without getting exhausted
Speaker: Gloria Mark, Professor, University of California, Irvine Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
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Fireside Conversation Series: Building an equitable environment for hybrid work
Speakers: Siddharth Suri, Senior Principal Researcher, Microsoft Research Redmond Nick Bloom, Professor, Stanford University Jennifer Neville, Senior Principal Researcher, Microsoft Research Redmond
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Live Q&A and Closing remarks: New future of work
Speakers: Jaime Teevan, Chief Scientist, Microsoft Research Redmond Shamsi Iqbal, Principal Researcher, Microsoft Research Redmond Longqi Yang, Senior Applied Research Scientist, Microsoft Research
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Research talk: Is phrase retrieval all we need?
Speaker: Danqi Chen, Assistant Professor, Princeton University DensePhrases is an extractive phrase-search tool based on natural language input that achieves dense retrieval of billion-scale
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12.8